Rapid advances in artificial intelligence (AI) are reshaping how students imagine, explore, and prepare for STEM careers across K-16 education. As AI systems increasingly influence feedback, advising, and access to information about opportunities, they are becoming part of the developmental infrastructure that shapes career identity formation and readiness. Yet uncertainty remains about how AI-supported career exploration tools should be designed, governed, and evaluated at scale, particularly across developmental stages and institutional contexts. This half-day workshop convenes researchers, educators, practitioners, and policymakers to examine responsible AI for STEM career development. We focus on four themes: (1) how AI reshapes definitions and assessment of STEM career readiness; (2) appropriate roles and boundaries for AI in career decision-making; (3) developmental alignment of AI supports across the K-16 continuum; and (4) equity-related design considerations that prevent the reproduction of structural disparities. Through lightning talks, structured group activities, and cross-sector dialogue, participants will surface design tensions, articulate governance principles, and identify research gaps. The workshop aims to advance shared language and actionable frameworks for responsible, developmentally grounded AI use in STEM career learning at scale.

翻译：人工智能（AI）的快速发展正在重塑K-16教育阶段学生对STEM职业的想象、探索与准备方式。随着AI系统日益影响关于机会的反馈、建议和信息获取，它们正成为塑造职业身份形成与准备度的发展性基础设施的一部分。然而，关于AI支持的职业探索工具应如何在大规模范围内进行设计、治理和评估，尤其是在不同发展阶段和机构情境之间，仍存在不确定性。本次为期半天的研讨会汇聚了研究人员、教育工作者、从业者和政策制定者，共同探讨面向STEM职业发展的负责任人工智能。我们聚焦四个主题：(1) AI如何重塑STEM职业准备度的定义与评估；(2) AI在职业决策中的适当角色与边界；(3) AI支持在K-16连续体中的发展性对齐；(4) 防止结构性差异重现的、与公平性相关的设计考量。通过闪电演讲、结构化小组活动和跨领域对话，与会者将揭示设计张力、阐明治理原则并识别研究空白。本次研讨会旨在推进共享语言和可操作框架，以支持在规模化STEM职业学习中负责任且基于发展规律的人工智能应用。